| # |
| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You under the Apache License, Version 2.0 |
| # (the "License"); you may not use this file except in compliance with |
| # the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| """Pickler for values, functions, and classes. |
| |
| For internal use only. No backwards compatibility guarantees. |
| |
| Uses the cloudpickle library to pickle data, functions, lambdas |
| and classes. |
| |
| dump_session and load_session are no-ops. |
| """ |
| |
| # pytype: skip-file |
| |
| import base64 |
| import bz2 |
| import io |
| import logging |
| import sys |
| import threading |
| import zlib |
| |
| from apache_beam.internal.cloudpickle import cloudpickle |
| |
| DEFAULT_CONFIG = cloudpickle.CloudPickleConfig( |
| skip_reset_dynamic_type_state=True) |
| NO_DYNAMIC_CLASS_TRACKING_CONFIG = cloudpickle.CloudPickleConfig( |
| id_generator=None, skip_reset_dynamic_type_state=True) |
| |
| try: |
| from absl import flags |
| except (ImportError, ModuleNotFoundError): |
| pass |
| |
| |
| def _get_proto_enum_descriptor_class(): |
| try: |
| from google.protobuf.internal import api_implementation |
| except ImportError: |
| return None |
| |
| implementation_type = api_implementation.Type() |
| |
| if implementation_type == 'upb': |
| try: |
| from google._upb._message import EnumDescriptor |
| return EnumDescriptor |
| except ImportError: |
| pass |
| elif implementation_type == 'cpp': |
| try: |
| from google.protobuf.pyext._message import EnumDescriptor |
| return EnumDescriptor |
| except ImportError: |
| pass |
| elif implementation_type == 'python': |
| try: |
| from google.protobuf.internal.python_message import EnumDescriptor |
| return EnumDescriptor |
| except ImportError: |
| pass |
| |
| return None |
| |
| |
| EnumDescriptor = _get_proto_enum_descriptor_class() |
| |
| # Pickling, especially unpickling, causes broken module imports on Python 3 |
| # if executed concurrently, see: BEAM-8651, http://bugs.python.org/issue38884. |
| _pickle_lock = threading.RLock() |
| RLOCK_TYPE = type(_pickle_lock) |
| LOCK_TYPE = type(threading.Lock()) |
| _LOGGER = logging.getLogger(__name__) |
| |
| |
| def _reconstruct_enum_descriptor(full_name): |
| for _, module in list(sys.modules.items()): |
| if not hasattr(module, 'DESCRIPTOR'): |
| continue |
| |
| if hasattr(module.DESCRIPTOR, 'enum_types_by_name'): |
| for (_, enum_desc) in module.DESCRIPTOR.enum_types_by_name.items(): |
| if enum_desc.full_name == full_name: |
| return enum_desc |
| |
| for _, attr_value in vars(module).items(): |
| if not hasattr(attr_value, 'DESCRIPTOR'): |
| continue |
| |
| if hasattr(attr_value.DESCRIPTOR, 'enum_types_by_name'): |
| for (_, enum_desc) in attr_value.DESCRIPTOR.enum_types_by_name.items(): |
| if enum_desc.full_name == full_name: |
| return enum_desc |
| raise ImportError(f'Could not find enum descriptor: {full_name}') |
| |
| |
| def _pickle_enum_descriptor(obj): |
| full_name = obj.full_name |
| return _reconstruct_enum_descriptor, (full_name, ) |
| |
| |
| def dumps( |
| o, |
| enable_trace=True, |
| use_zlib=False, |
| enable_best_effort_determinism=False, |
| config: cloudpickle.CloudPickleConfig = DEFAULT_CONFIG) -> bytes: |
| """For internal use only; no backwards-compatibility guarantees.""" |
| if enable_best_effort_determinism: |
| # TODO: Add support once https://github.com/cloudpipe/cloudpickle/pull/563 |
| # is merged in. |
| _LOGGER.warning( |
| 'Ignoring unsupported option: enable_best_effort_determinism. ' |
| 'This has only been implemented for dill.') |
| with _pickle_lock: |
| with io.BytesIO() as file: |
| pickler = cloudpickle.CloudPickler(file, config=config) |
| try: |
| pickler.dispatch_table[type(flags.FLAGS)] = _pickle_absl_flags |
| except NameError: |
| pass |
| try: |
| pickler.dispatch_table[RLOCK_TYPE] = _pickle_rlock |
| except NameError: |
| pass |
| try: |
| pickler.dispatch_table[LOCK_TYPE] = _lock_reducer |
| except NameError: |
| pass |
| if EnumDescriptor is not None: |
| pickler.dispatch_table[EnumDescriptor] = _pickle_enum_descriptor |
| pickler.dump(o) |
| s = file.getvalue() |
| |
| # Compress as compactly as possible (compresslevel=9) to decrease peak memory |
| # usage (of multiple in-memory copies) and to avoid hitting protocol buffer |
| # limits. |
| # WARNING: Be cautious about compressor change since it can lead to pipeline |
| # representation change, and can break streaming job update compatibility on |
| # runners such as Dataflow. |
| if use_zlib: |
| c = zlib.compress(s, 9) |
| else: |
| c = bz2.compress(s, compresslevel=9) |
| del s # Free up some possibly large and no-longer-needed memory. |
| |
| return base64.b64encode(c) |
| |
| |
| def loads(encoded, enable_trace=True, use_zlib=False): |
| """For internal use only; no backwards-compatibility guarantees.""" |
| |
| c = base64.b64decode(encoded) |
| |
| if use_zlib: |
| s = zlib.decompress(c) |
| else: |
| s = bz2.decompress(c) |
| |
| del c # Free up some possibly large and no-longer-needed memory. |
| |
| with _pickle_lock: |
| unpickled = cloudpickle.loads(s) |
| return unpickled |
| |
| |
| def _pickle_absl_flags(obj): |
| return _create_absl_flags, tuple([]) |
| |
| |
| def _create_absl_flags(): |
| return flags.FLAGS |
| |
| |
| def _pickle_rlock(obj): |
| return RLOCK_TYPE, tuple([]) |
| |
| |
| def _lock_reducer(obj): |
| return threading.Lock, tuple([]) |
| |
| |
| def dump_session(file_path): |
| # It is possible to dump session with cloudpickle. However, since references |
| # are saved it should not be necessary. See https://s.apache.org/beam-picklers |
| pass |
| |
| |
| def load_session(file_path): |
| # It is possible to load_session with cloudpickle. However, since references |
| # are saved it should not be necessary. See https://s.apache.org/beam-picklers |
| pass |